code: def _estimate_full_and_emtpy_subset_results(
      set_func: Callable[[np.ndarray], Union[float, np.ndarray]],
      num_players: int,
  ) -> Tuple[Union[float, np.ndarray], Union[float, np.ndarray]]:
      return set_func(np.ones(num_players, dtype=np.int32)), set_func(
          np.zeros(num_players, dtype=np.int32)
      )
  
imports: import itertools
  import math
  from enum import Enum
  from typing import Callable, Dict, List, Optional, Set, Tuple, Union
  import numpy
  import scipy
  from joblib import Parallel, delayed
  from scipy.special import comb
  from scipy.stats._qmc import Halton
  from sklearn.linear_model import LinearRegression
  from tqdm import tqdm
  import dowhy.gcm.config
  from dowhy.gcm.util.general import set_random_seed
label_desc: Use image node_id 11 for calling a global function with example usage: _estimate_full_and_emtpy_subset_results(set_func, num_players) and returns: set_func,  set_func